{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:YADCUXITYJLEKW247IOR4SXICA","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ffa23dbe6436137185c3c35928b31a0f2b79503d47f7ea360c1c3ff0fd0f393c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-29T16:08:19Z","title_canon_sha256":"41264e156e5b18ead16db534918d29676484677d307f568fe182e050b860856c"},"schema_version":"1.0","source":{"id":"2009.14119","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2009.14119","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"arxiv_version","alias_value":"2009.14119v4","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.14119","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"pith_short_12","alias_value":"YADCUXITYJLE","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"pith_short_16","alias_value":"YADCUXITYJLEKW24","created_at":"2026-07-05T03:01:33Z"},{"alias_kind":"pith_short_8","alias_value":"YADCUXIT","created_at":"2026-07-05T03:01:33Z"}],"graph_snapshots":[{"event_id":"sha256:13308a3b3390eb2f813accc683539fae5b865040c7ce243203c727d097e861a6","target":"graph","created_at":"2026-07-05T03:01:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2009.14119/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In a typical multi-label setting, a picture contains on average few positive labels, and many negative ones. This positive-negative imbalance dominates the optimization process, and can lead to under-emphasizing gradients from positive labels during training, resulting in poor accuracy. In this paper, we introduce a novel asymmetric loss (\"ASL\"), which operates differently on positive and negative samples. The loss enables to dynamically down-weights and hard-thresholds easy negative samples, while also discarding possibly mislabeled samples. We demonstrate how ASL can balance the probabilitie","authors_text":"Asaf Noy, Emanuel Ben-Baruch, Itamar Friedman, Lihi Zelnik-Manor, Matan Protter, Nadav Zamir, Tal Ridnik","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-29T16:08:19Z","title":"Asymmetric Loss For Multi-Label Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.14119","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8ab435fd29e98b3c83b2ed65c1ca9060f4a18ae93d1b75daf650058364e03c2b","target":"record","created_at":"2026-07-05T03:01:33Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ffa23dbe6436137185c3c35928b31a0f2b79503d47f7ea360c1c3ff0fd0f393c","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-09-29T16:08:19Z","title_canon_sha256":"41264e156e5b18ead16db534918d29676484677d307f568fe182e050b860856c"},"schema_version":"1.0","source":{"id":"2009.14119","kind":"arxiv","version":4}},"canonical_sha256":"c0062a5d13c256455b5cfa1d1e4ae8100e3d69d3cf38c75ea418725c841c63ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0062a5d13c256455b5cfa1d1e4ae8100e3d69d3cf38c75ea418725c841c63ad","first_computed_at":"2026-07-05T03:01:33.746560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:01:33.746560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pEVu/YTpfqDW1j6WDTku1Ln7Xz+7srLAA+fn1XuKX3VBvvxanI50st1y3kp4J5ilArrcIrBbwd57fD4f+i3ACw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:01:33.747030Z","signed_message":"canonical_sha256_bytes"},"source_id":"2009.14119","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ab435fd29e98b3c83b2ed65c1ca9060f4a18ae93d1b75daf650058364e03c2b","sha256:13308a3b3390eb2f813accc683539fae5b865040c7ce243203c727d097e861a6"],"state_sha256":"6c5a991d7600e8077874bb3e15abb779785e04658b54f8d035a4b03e17ab0dba"}